Kubernetes Service Accounts Explained | Cluster Role | RoleBinding | ClusterRoleBinding | RBAC
What is the Default Kubernetes Service Account?
Every namespace has a default service account. And every pod created without specifying a service account gets assigned the default service account (and it’s token mounted to it as a secret) though it has very few permissions.
Therefore, if you want to give more permissions to an application, or want custom control, you’ll want to create a service account for your app or process.
When you (a human) access the cluster (for example, using kubectl), you are authenticated by the apiserver as a particular User Account (currently this is usually admin, unless your cluster administrator has customized your cluster). Processes in containers inside pods can also contact the apiserver. When they do, they are authenticated as a particular Service Account (for example, default).
Before you begin
A service account provides an identity for processes that run in a Pod.
Role-based access control (RBAC) is a method of regulating access to computer or network resources based on the roles of individual users within your organization.
RBAC authorization uses the rbac.authorization.k8s.io API group to drive authorization decisions, allowing you to dynamically configure policies through the Kubernetes API.
This document walks you through an example of enabling HorizontalPodAutoscaler to automatically manage scale for an example web app. This example workload is Apache httpd running some PHP code
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Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available.
The name Kubernetes originates from Greek, meaning helmsman or pilot. K8s as an abbreviation results from counting the eight letters between the "K" and the "s". Google open-sourced the Kubernetes project in 2014. Kubernetes combines over 15 years of Google's experience running production workloads at scale with best-of-breed ideas and practices from the community
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⭐️ Course Contents ⭐️
Requests and Limits Documentation → https://goo.gl/kHrqZ2
Resource Quota Documentation → https://goo.gl/3z8co1
Limit Range CPU Documentation → https://goo.gl/H7CDUH
Limit Range Memory Documentation → https://goo.gl/hGpThm
Kubernetes Engine Cluster Autoscaler → https://goo.gl/wDNs5B
Pod Priority → https://goo.gl/N2yQVP
Google Kubernetes Engine → https://goo.gl/2V8yah